Jon Hamkins, Marvin K. Simon, Joseph H. Yuen's Autonomous Software-Defined Radio Receivers for Deep Space PDF

By Jon Hamkins, Marvin K. Simon, Joseph H. Yuen

ISBN-10: 0470082127

ISBN-13: 9780470082126

ISBN-10: 047008779X

ISBN-13: 9780470087794

This publication introduces the reader to the concept that of an self reliant software-defined radio (SDR) receiver. every one targeted point of the layout of the receiver is taken care of in a separate bankruptcy written through a number of major innovators within the box. Chapters start with an issue assertion after which supply a whole mathematical derivation of a suitable resolution, a choice metric or loop-structure as applicable, and function effects.

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Download PDF by Jon Hamkins, Marvin K. Simon, Joseph H. Yuen: Autonomous Software-Defined Radio Receivers for Deep Space

This ebook introduces the reader to the idea that of an self sufficient software-defined radio (SDR) receiver. every one detailed element of the layout of the receiver is taken care of in a separate bankruptcy written via a number of best innovators within the box. Chapters start with an issue assertion after which provide a whole mathematical derivation of a suitable resolution, a choice metric or loop-structure as acceptable, and function effects.

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Additional resources for Autonomous Software-Defined Radio Receivers for Deep Space Applications (JPL Deep-Space Communications and Navigation Series)

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It also was shown that these SNR regions can be significantly widened with very little loss in performance. Most important is the fact that, with this reconfiguration, the SNR estimator tracks the Cramer-Rao bound (with a fixed separation from it) on the variance of the estimator over the entire range of SNR values, whereas the conventional SSME deviates considerably from this bound at high SNR. Finally, an adaptive algorithm based on the modified SSME was developed that allows the system to automatically converge on the true SNR, starting with an initial guess (estimate) derived from a partition of two subdivisions.

NQ is the number of bits used in the integration process (a multiple of 1000 bits), and Si denotes error count for each code phase, @i. If the difference in the error counts is sufficiently large, IS0 - ,911 2 (YO (00 is a pre-determined threshold between 0 and 255) and the smallest of the two error counts, is less than a second pre-determined threshold a1 (between 0 and 2048), then the node phase is set to the phase associated with the minimum error count and acquisition is completed. If not, then the decoder resets and the above process is repeated.

Manchester encoding typically is enabled for residual-carrier transmissions. It follows the coder chain as indicated in Fig. 2-9 and is considered part of the digital modulator. When enabled, the encoder converts NRZ waveforms to biphase-level-represented waveforms. In either case (Manchester or NRZ), the output is initially a binary (1,O) stream. After Manchester or NRZ encoding, the encoded binary data are converted to bipolar data. Typically, a logical zero is mapped into a phase of zero radians, and a logical one is mapped into a phase of 7r radians.

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Autonomous Software-Defined Radio Receivers for Deep Space Applications (JPL Deep-Space Communications and Navigation Series) by Jon Hamkins, Marvin K. Simon, Joseph H. Yuen


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